Article

Explainable autoencoder-based representation learning for gene expression data

2021-12-23

Abstract excerpt

Modern machine learning methods have been extensively utilized in gene expression data analysis. In particular, autoencoders (AE) have been employed in processing noisy and heterogenous RNA-Seq data. However, AEs usually lead to “black-box” hidden variables difficult to interpret, hindering downstream experimental validation and clinical translation. To bridge the gap between complicated models and biological inte...

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Literature Corpus work: 78e57219-00a7-5df6-ac5e-efd48c2896ae
DOI: 10.1101/2021.12.21.473742

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